Our Azath — Sakuta & Yui Character LoRA
Repository: toonsquare/Our_Azath
Characters: Sakuta, Yui
Base Model: beanimaXL_v10 (SDXL)
Model Type: Character LoRA (SDXL)
License: Apache-2.0
Overview
This repository contains a character-focused LoRA model trained for the characters
Sakuta and Yui from the IP “Our Azath”.
The primary objective of this model is to preserve clear character identity while supporting stable generation across a wide range of compositions and visual variations.
Special attention was given to Yui’s hairstyle, which is a key visual identifier of the character.
Characters & Trigger Words
Sakuta
- Trigger word:
az_bunta
Yui
Yui’s hairstyle is a defining feature of her character design.
To improve generation accuracy and control, Yui was trained with separate hairstyle-specific trigger words.
- Base trigger:
az_yui - Ponytail hairstyle:
az_yui, ponytail hair - Hair bun hairstyle:
az_yui, bun hair
Using the appropriate trigger word helps maintain consistency between hairstyle and character identity.
Dataset Construction & Training Pipeline
This model follows a structured, repeatable pipeline designed to maximize character consistency and visual quality.
1. Original Image Acquisition (from IP Team)
High-quality reference images were provided directly by the IP team for both characters.
For each character, images were collected across multiple compositions and viewpoints to ensure consistent identity representation.
2. Data Augmentation Using Flux
All reference images were processed using a Flux-based generation pipeline to produce large-scale augmented datasets.
- Generated images per character: ~1,000
- Purpose: increase pose, framing, and contextual diversity
3. Manual Curation
All generated images were manually reviewed.
The following were removed during the curation process:
- Duplicate or near-duplicate images
- Incorrect generations (identity drift, malformed anatomy, etc.)
- Low-quality outputs (noise, poor composition, low detail)
After curation, approximately 500–600 images per dataset were selected for training.
4. Yui Hairstyle-Specific Dataset Separation
Unlike Sakuta, Yui required additional dataset separation due to hairstyle variation.
To achieve this:
Ponytail Yui
- Separate reference images were provided by the IP team
- Images were augmented via Flux
- Manual curation applied
Hair bun Yui
- Separate reference images were provided by the IP team
- Images were augmented via Flux
- Manual curation applied
Each hairstyle-specific dataset was associated with its own trigger word (yui_ponytail, yui_bun) to allow precise control during generation.
5. LoRA Training
The curated datasets were used to train a Standard LoRA model on top of an SDXL base model.
- Base model:
beanimaXL_v10 - Architecture: Stable Diffusion XL (SDXL)
The training process focused on:
- Preserving character identity
- Maintaining hairstyle consistency for Yui
- Allowing reasonable variation in pose, framing, and context
LoRA Training Configuration (Reference)
⚠️ The following configuration reflects the settings used during training as closely as possible.
Values are provided for reference only.
Click to expand training configuration
{
"LoRA_type": "Standard",
"epoch": 50,
"train_batch_size": 3,
"learning_rate": 3e-05,
"unet_lr": 3e-05,
"text_encoder_lr": 3e-05,
"optimizer": "AdamW",
"mixed_precision": "fp16",
"network_dim": 32,
"network_alpha": 32,
"clip_skip": 1,
"max_resolution": "1024,1024",
"min_snr_gamma": 5,
"gradient_checkpointing": true,
"cache_latents": true,
"enable_bucket": true,
"save_every_n_epochs": 1,
"sdxl": true,
"save_precision": "fp16"
}
Usage Guide
Basic Prompt
az_bunta, [description]
az_yui, [description]
Hairstyle-Specific Prompts (Yui)
az_yui, ponytail hair, [description]
az_yui, bun hair, [description]
Tips
- Place the character trigger early in the prompt for stronger identity locking.
- Always use the hairstyle-specific trigger for Yui to avoid hairstyle mixing.
- Explicitly specifying composition (e.g., close-up, bust shot, full body) improves control.
- Extreme stylistic deviations may weaken character consistency.
Intended Use & Limitations
- This model is designed for character-consistent image generation of Sakuta and Yui.
- Hairstyle accuracy for Yui depends on using the correct trigger word.
- Mixing conflicting hairstyle prompts may reduce consistency.
- Radical style changes or photorealistic prompts may degrade character identity.
License
This model is released under the Apache License 2.0.
You are free to:
- Use the model commercially
- Modify and redistribute it
Please ensure compliance with the Apache-2.0 license terms and any applicable IP usage policies.
Credits
- Characters: Sakuta, Yui (Our Azath)
- Training & curation: Toonsquare
- Data source: IP Team